Opportunity Information: Apply for M24AS00417
GM-24-02C: Northern Gulf of Mexico Monitoring for Protected Birds is a Bureau of Ocean Energy Management (BOEM) discretionary funding opportunity focused on improving how protected bird species are found, identified, and reported from high-resolution aerial imagery collected over the Gulf of Mexico. The core idea is to modernize and streamline wildlife monitoring in offshore and nearshore areas where energy development is happening now or is expected in the future, so that agencies and stakeholders can make better-informed decisions using faster, more consistent data products.
The project centers on building state-of-the-art automated detection and classification methods using artificial intelligence and machine learning, specifically deep learning computer vision approaches that can recognize animals in complex aerial photos. BOEM and its partners want to develop algorithms that can reliably locate and classify important protected species in imagery, reducing the need for purely manual review and improving consistency across large survey datasets. The aerial imagery that these models will analyze is being collected by the US Fish and Wildlife Service (USFWS) under a separate agreement, meaning this effort is primarily about turning those raw images into actionable biological information through advanced analytics rather than running the image-collection flights themselves.
A second major deliverable is a public-facing, web-based visualization tool. BOEM is looking for a platform that can provide clear status updates and accessible outputs related to USFWS and BOEM remote-sensing and aerial-imagery surveys in the Gulf of Mexico. The intent is that this tool becomes a practical, ongoing resource for a wide range of users, including federal and state agencies, researchers, industry participants, and the general public. By consolidating survey progress information and making results easier to view and interpret, the tool would help people track what has been surveyed, where work is underway, and what the most current findings show, particularly in areas tied to offshore energy planning and operations.
The planned timeline is five years, with two headline outcomes expected over that period: (1) advanced AI/ML detection and classification algorithms capable of analyzing USFWS aerial imagery from the Gulf of Mexico for protected species, and (2) a web-based tool that shares survey results and supports transparency and situational awareness around ongoing aerial monitoring. Taken together, the work is aimed at improving both the technical backbone (automated image analysis) and the communication layer (visualization and reporting) of protected bird monitoring in the region.
From an administrative standpoint, the opportunity is listed under Funding Opportunity Number M24AS00417, uses a Cooperative Agreement funding instrument, and falls under the Environment activity category (CFDA 15.423). The posted award ceiling is $350,000, the original closing date is 2024-09-02, and the opportunity is described as a single-source cooperative agreement specifically intended for the University of Florida, which is a member institution of the Gulf Coast Cooperative Ecosystem Studies Units. This structure indicates BOEM expects substantial collaboration during project execution and has already identified the intended implementing partner rather than running a fully open competition for multiple applicants.Apply for M24AS00417
- The Bureau of Ocean Energy Management in the environment sector is offering a public funding opportunity titled "GM-24-02C: Northern Gulf of Mexico Monitoring for Protected Birds" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.423.
- This funding opportunity was created on 2024-07-31.
- Applicants must submit their applications by 2024-09-02. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $350,000.00 in funding.
- Eligible applicants include: Others.
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FAQs: GM-24-02C Northern Gulf of Mexico Monitoring for Protected Birds (BOEM)
What is GM-24-02C?
GM-24-02C: Northern Gulf of Mexico Monitoring for Protected Birds is a Bureau of Ocean Energy Management (BOEM) discretionary funding opportunity focused on improving how protected bird species are found, identified, and reported from high-resolution aerial imagery collected over the Gulf of Mexico.
What problem is this funding opportunity trying to solve?
The opportunity is aimed at modernizing and streamlining offshore and nearshore wildlife monitoring where energy development is occurring now or may occur in the future. The goal is to produce faster, more consistent data products so agencies and stakeholders can make better-informed decisions.
What are the main goals of the project?
The work centers on two major outcomes over a five-year timeline: (1) advanced AI/ML detection and classification algorithms for protected species in Gulf of Mexico aerial imagery, and (2) a public-facing, web-based visualization tool to share survey status and results.
What kinds of technology are expected for the image analysis work?
BOEM is specifically looking for automated detection and classification methods using artificial intelligence and machine learning, particularly deep learning computer vision approaches that can recognize animals in complex aerial photos.
What will the AI/ML algorithms do in practice?
The algorithms are intended to reliably locate and classify important protected species in high-resolution aerial imagery. This is meant to reduce reliance on purely manual image review and improve consistency across large survey datasets.
Is this project about collecting new aerial imagery?
No. The aerial imagery is being collected by the U.S. Fish and Wildlife Service (USFWS) under a separate agreement. This effort focuses on turning those raw images into actionable biological information through advanced analytics rather than conducting the image-collection flights.
Who is collecting the imagery that will be analyzed?
The imagery to be analyzed under this effort is being collected by the U.S. Fish and Wildlife Service (USFWS) under a separate agreement.
What is the web-based visualization tool expected to provide?
BOEM is looking for a public-facing, web-based platform that provides clear status updates and accessible outputs related to USFWS and BOEM remote-sensing and aerial-imagery surveys in the Gulf of Mexico.
Who is the visualization tool intended to serve?
The tool is intended to be a practical, ongoing resource for a wide range of users, including federal and state agencies, researchers, industry participants, and the general public.
What kinds of questions should the visualization tool help users answer?
Based on the description, the tool should help people understand what has been surveyed, where work is underway, and what the most current findings show, particularly in areas tied to offshore energy planning and operations.
How long is the planned project period?
The planned timeline is five years.
What are the two headline deliverables over the five-year period?
The two headline outcomes are: (1) AI/ML detection and classification algorithms that can analyze USFWS aerial imagery from the Gulf of Mexico for protected species, and (2) a web-based tool that shares survey results and supports transparency and situational awareness around ongoing aerial monitoring.
What agency is sponsoring or managing this opportunity?
The sponsoring agency is the Bureau of Ocean Energy Management (BOEM).
What is the Funding Opportunity Number?
The Funding Opportunity Number is M24AS00417.
What funding instrument will be used?
The opportunity uses a Cooperative Agreement funding instrument, which indicates substantial collaboration is expected during project execution.
What is the activity category and CFDA listing provided?
The opportunity falls under the Environment activity category and is listed as CFDA 15.423.
What is the maximum award amount (award ceiling)?
The posted award ceiling is $350,000.
What is the original closing date for the opportunity?
The original closing date is 2024-09-02.
Is this an open competition for multiple applicants?
No. The opportunity is described as a single-source cooperative agreement.
Who is the intended recipient?
The single-source cooperative agreement is specifically intended for the University of Florida, identified as a member institution of the Gulf Coast Cooperative Ecosystem Studies Units.
Why does the listing indicate a cooperative approach?
The structure suggests BOEM expects substantial collaboration during project execution and has already identified the intended implementing partner rather than running a fully open competition.
What geographic area does the project focus on?
The project focuses on the Gulf of Mexico, with particular emphasis on offshore and nearshore areas connected to current or anticipated energy development and related planning and operations.
What is the overall purpose when you put the algorithm work and the web tool together?
Taken together, the effort is designed to improve both the technical backbone (automated image analysis of protected species in aerial imagery) and the communication layer (visualization and reporting) for protected bird monitoring in the northern Gulf of Mexico.
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